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Updated: Jun 3, 2025

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在对比度增强和非对比度MRI图像之间对大脑体积测量的比较分析

Aniket Aman¹, Aaryaman Hoskote², Kshitij S Jadhav²

¹Max Super Speciality Hospital, Saket, New Delhi, India.

Neuroscience letters

|January 9, 2025

概括

增强对比度的MRI扫描对于使用像SynthSeg+这样的深度学习工具进行大脑研究是可靠的. 这种方法增强了用于神经科学发现的临床脑成像数据的使用.

科学领域:

神经成像是一种神经成像.
放射学放射学是一门学科.
人工智能在医学中的应用

背景情况:

临床大脑MRI扫描,包括对比度增强 (CE-MR) 图像,在神经科学研究中未得到充分利用.
技术异质性限制了CE-MR扫描用于研究目的的使用.

研究的目的:

评估CE-MR扫描与非对比MR扫描 (NC-MR) 的形态测量测量的可靠性.
为了比较分析CE-MR数据的不同细分工具的性能.

主要方法:

分析了59名健康个体的T1加权CE-MR和NC-MR扫描.
使用CAT12和SynthSeg+细分工具进行体积测量和年龄预测.
计算了类内相关系数 (ICC) 来评估可靠性.

主要成果:

在比较CE-MR和NC-MR扫描时,SynthSeg+对大多数大脑结构表现出高可靠性 (ICCs>0.90).
在大脑脊髓液 (CSF) 和心室体积中发现了差异.
CAT12显示不一致的性能,而SynthSeg+年龄预测模型在扫描类型中表现相似.

结论:

深度学习细分工具,如SynthSeg+,可以可靠地处理CE-MR扫描以进行形态分析.
这种方法可以扩大临床获得的CE-MR图像在神经成像研究中的实用性.
SynthSeg+提供了一种可靠的方法,可以从对比度增强的MRI数据中分析大脑结构.

关键词:

年龄预测年龄预测大脑形态测量使用对比增强的MRI图像.图像细分图像细分图像细分磁共振成像 (MRI) 是一种磁共振成像技术.卷度分析卷度分析

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